关于建立问答系统的思考 [英] Ideas on Developing a Question Answering System

问题描述

我的大学最后一年项目涉及开发一个问答系统，允许用户根据在线资料提问，例如维基百科。我的想法是遍历所有句子并找到对特定问题最适用和最准确的答案。



我明白这需要自然语言处理，我完成了那部分。我开发了它，以便它将所有句子存储在数据库中，并提供所有词汇信息和实体提取。我的问题是，对于用户要求的特定问题，遍历句子列表并找到准确/接近准确答案的最佳算法是什么？



例如：微软何时成立？

并且参考维基百科的微软页面，系统应指明答案： 1975年4月4日



例如：谁是漫威漫画的创作者？

并且参考维基百科的漫威漫画页面，系统应该指定答案： Martin Goodman



这是一个讨论，所以请指出我正确的方向，好小伙子们！只需要一个合适的算法，我将在后面处理编码：）

My University Final Year project involves in developing a Question Answering System that allows users to ask questions based on online material, for example Wikipedia. The idea is to traverse all the sentences and find the most applicable and accurate answer to a specific question.

I understand that this requires Natural Language Processing and I COMPLETED that part. I have developed it so that it stores all sentences in a database with all its Lexical Information and Entity extraction. My question is, what's the best algorithm to traverse through a list of sentences and find an accurate/near-accurate answer for a specific question the user asks?

For example: When was Microsoft founded?
And referring to Wikipedia's Microsoft page, the system should specify the answer: April 4, 1975

For example: Who is the creator of Marvel comics?
And referring to Wikipedia's Marvel Comics page, the system should specify the answer: Martin Goodman

This is a discussion so please point me in the right direction, good lads! Just a proper algorithm would do, I shall take care of the coding afterwards :)

推荐答案

我认为你应该寻找搜索引擎算法。这应该会带你走向正确的方向。



也许下面的链接会有所帮助。

搜索引擎算法基础知识 [ ^ ]



（谷歌）

大型超文本网络搜索引擎剖析 [ ^ ]



SEO算法 - 哪种SEO算法效果最好？ [ ^ ]

I think you should look for search engine algorithms. That should take you in the right direction.

Maybe the links below will be helpful.
Search Engine Algorithm Basics[^]

(Google)
The Anatomy of a Large-Scale Hypertextual Web Search Engine[^]

SEO algorithms – Which SEO algorithm works best?[^]

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